04/24/2012

With the recently relased version of the package RGL (V. 0.92.879) there is a new option to publish 3D plots as an interactive WebGL graphic.
Nearly every 3D plot you set up in a RGL window can be exportet via a very easy command. Just plot as usual into your rgl device and then use the command “writeWebGL()”.

Click to open the TimeSpace Cube WebGL Plot

Time Space Cube sample:

Dependable on your hardware and software specifications (graphics have to support a newer OpenGL version) you’ll be able to open my try in your browser window:

Like this:

08/30/2011

To get a quick impression about the temporal stay of places it is helpful to generate a plot of the trackpoints spatial density (intensity).

Spatial intensity 2D/3D

As the 3d visualisation has both advatages and disadvantages, a combination with a 2D plot is useful to interpret the data. The data used in this example is a gps record of the “everyday life” of a test person.

Like this:

02/22/2010

Here comes another option to analyze a TimeSpace-Track with R. A lattice cloud plots every recorded trackpoint into a 3d-time-space-cube. As the data (planar point pattern) is marked with the daytime, cluster of everyday routines become visible.

Here the direct comparison between a function of density and the time-space-cloud.

Like this:

02/06/2010

Beside the visualisation of TimeSpace Tracks, I’m trying to find a way to analyze GPX-Tracks with statistical software. This are the first results with R (The R Project for Statistical Computing):

GPS track analized with R package "trip"

density plot 3D

^This graph is a result of the analysis with the package trip (Spatial analysis of animal track data). Unfortunatelly i’m do not understand witch scale is used by the package.

^Trackpoints as a function of density.

Since there is a trackpoint recorded every 10 sec., it is possible to interpretate the density of the trackpoints as time-spend.

This is a two day track. The highest peak in the right corner is my home (Nuremberg). The peaks in the backstage are both university in Erlangen. The path on the rigth side I did with my bicycle, the left one with the train.

But how to examine specific areas?

trackdata density plot 3D

^1500 m arround my house in the city center.

With clickppp() from the spatstat package it’s possible to choose e.g. a point with the mouse: